A simplified model for simulating anaerobic digesters: Application to valorisation of bagasse and distillery spent wash

Sanjay Nagarajan, Varaha Prasad Sarvothaman, Martin Knörich, Vivek V. Ranade*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Current anaerobic digestion (AD) design methods rely on crude empirical models or sophisticated anaerobic digestion models (like ADM1) requiring a large number of parameters which are difficult to obtain experimentally. A simplified model for simulating AD was developed in this work. The model requires knowledge of CH4/CO2 ratio in biogas or indigestible fraction in substrate and batch biomethane potential (BMP) data for estimating three kinetic parameters (maximum specific growth rate, half velocity constant and cell death rate). Reported lab scale BMP data of sugarcane bagasse and spent wash were used to first estimate the kinetics and then to simulate corresponding largescale AD. Simulated results of specific methane yield and digester performance were consistent with available largescale AD data. The potential of the model to simulate single and multi-stage AD were illustrated. The presented approach and model will be useful for effectively valorising a variety of complex biomass substrates to biogas.

Original languageEnglish
Article number125395
JournalBioresource Technology
Volume337
Early online date09 Jun 2021
DOIs
Publication statusEarly online date - 09 Jun 2021

Bibliographical note

Funding Information:
This work was supported by Innovate UK, Newton Fund, BBSRC UK and Department of Biotechnology, Government of India (vWa Project, Grant BB/S011951/1).

Publisher Copyright:
© 2021

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • Anaerobic digester
  • Bagasse
  • Biogas
  • Mathematical Model
  • Spent wash

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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